Compositional modeling of complex systems: contact center scenarios in osmosys

Giuliana Franceschinis, Marco Gribaudo, Mauro Iacono, Stefano Marrone, Nicola Mazzocca, Valeria Vittorini

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo in volume (Capitolo o Saggio)peer review

Abstract

In this paper we present the application of a compositional modeling methodology to the re-engineering of Stochastic Well Formed net (SWN) models of a contact center. The modeling methodology is based on the definition of proper operators to connect submodels and it is supported by the OsMoSys modeling framework. The paper describes the implementation of a library of reusable SWN submodels of the contact center components and the definition of proper SWN connectors to easily develop models of different configurations of the system. We also describe the solving process of the composed models and its integration in the OsMoSys framework. Moreover, we discuss the advantages that this approach, based on the definition of classes and instances of submodels, can provide to the application of SWN to complex case studies.

Lingua originaleInglese
Titolo della pubblicazione ospiteLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorJordi Cortadella, Wolfgang Reisig
EditoreSpringer Verlag
Pagine177-196
Numero di pagine20
ISBN (stampa)3540222367
DOI
Stato di pubblicazionePubblicato - 2004

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3099
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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